Optical constants
Refractive index of Yb2O3 (Ytterbium sesquioxide)
Medenbach et al. 2001: n 0.435–0.644 µm
- Data
- formula 2
- Range
- 0.435–0.644 µm
- Licence
- CC0-1.0
Plot
Click the plot to set the calculator wavelength.
At one wavelength
- Refractive index n
- 1.94746
- Extinction coefficient k
- 0
- Permittivity ε1
- 3.79258
- Permittivity ε2
- 0
- Absorption coefficient α
- 0 cm⁻¹
- Penetration depth δ = λ/(2πk)
- — nm
- Abbe number Vd
- —
- Chromatic dispersion dn/dλ
- -0.13422 µm⁻¹
- Group index ng
- 2.02632
- Group velocity dispersion
- 260.927 fs²/mm
- Dispersion parameter D
- -1423.5 ps/(nm·km)
- Photon energy
- 2.11001 eV
ε = (n + ik)², α = 4πk/λ, ng = n − λ dn/dλ, GVD = λ³/(2πc²) d²n/dλ², D = −(λ/c) d²n/dλ². Group-velocity dispersion is given for formula data only.
Use it in Lightsmith
Load this data in Python, simulate in one more line
pip install lightsmith
import lightsmith as ls
# Yb2O3 (Ytterbium sesquioxide): Medenbach et al. 2001: n 0.435–0.644 µm
yb2o3 = ls.fetch_refractiveindex("main", "Yb2O3", "Medenbach", ref="c5c2f188e848453def5970e347399d653df2ffc2")
print(yb2o3.range_nm) # (435, 644) nm
eps = yb2o3.eps([633]) # complex permittivity
Downloads the original record once (pinned to the imported snapshot) and caches it.
import json, urllib.request
import lightsmith as ls
url = "https://materials.lightsmith.dev/v1/datasets/ds_03510b3cc735/lightsmith"
yb2o3 = ls.Tabulated.model_validate(json.load(urllib.request.urlopen(url)))
print(yb2o3.source) # citation and provenance travel with the data
Any dataset here, as the library's Tabulated material (yb2o3/medenbach-2001).
# ... load yb2o3 as above, then:
sim = ls.Simulation(
particles=[ls.Particle(shape=ls.Sphere(radius_nm=50), material=yb2o3)],
medium_index=1.0,
wavelengths=ls.WavelengthRange(start_nm=435, stop_nm=644, num=81),
)
res = ls.solve(sim) # exact Mie for a sphere
print(res.q_ext) # extinction efficiency at each wavelength
Same spec runs with DDA, FDTD, BEM or T-matrix: ls.compare(sim, ["mie", "dda"]).
import json, urllib.request
import lightsmith as ls
url = "https://materials.lightsmith.dev/v1/datasets/ds_03510b3cc735/lightsmith?model=drude_lorentz"
yb2o3_dl = ls.DrudeLorentz.model_validate(json.load(urllib.request.urlopen(url)))
A dispersive Drude–Lorentz model for time-domain solvers.
Lightsmith is open source (MIT): Mie, T-matrix, BEM, DDA, FDTD, RCWA, TMM, mode solvers and inverse design behind one spec, on CPU or GPU. GitHub.
Dispersion formula
Sellmeier (C in µm²) (formula 2), λ in µmValid from 0.435 to 0.644 µm.
Coefficients as stored
| Ci | Value |
|---|---|
| C1 | 0.0 |
| C2 | 2.647 |
| C3 | 0.018 |
References
- doi:10.1088/1464-4258/3/3/303 Refractive index and optical dispersion of rare earth oxides using a small-prism technique, Journal of Optics A: Pure and Applied Optics (2001)
Cite
O Medenbach, D Dettmar, R D Shannon, R X Fischer and W M Yen. Refractive index and optical dispersion of rare earth oxides using a small-prism technique. Journal of Optics A: Pure and Applied Optics, 3, 174-177 (2001), doi:10.1088/1464-4258/3/3/303; Data from the refractiveindex.info database (M. N. Polyanskiy, Sci. Data 11, 94 (2024), doi:10.1038/s41597-023-02898-2)
Data
Computed on 400 wavelengths, the same grid as the API and the library| λ (µm) | n |
|---|---|
| 0.435 | 1.981228 |
| 0.435428 | 1.981076 |
| 0.435856 | 1.980924 |
| 0.436285 | 1.980772 |
| 0.436714 | 1.980621 |
| 0.437144 | 1.980469 |
| 0.437574 | 1.980319 |
| 0.438005 | 1.980168 |
| 0.438436 | 1.980018 |
| 0.438867 | 1.979869 |
| 0.439299 | 1.979719 |
| 0.439731 | 1.97957 |
| 0.440163 | 1.979422 |
| 0.440596 | 1.979273 |
| 0.44103 | 1.979125 |
| 0.441464 | 1.978978 |
| 0.441898 | 1.978831 |
| 0.442333 | 1.978684 |
| 0.442768 | 1.978537 |
| 0.443204 | 1.978391 |
| 0.44364 | 1.978245 |
| 0.444076 | 1.978099 |
| 0.444513 | 1.977954 |
| 0.44495 | 1.977809 |
| 0.445388 | 1.977664 |
| 0.445826 | 1.97752 |
| 0.446265 | 1.977376 |
| 0.446704 | 1.977232 |
| 0.447143 | 1.977089 |
| 0.447583 | 1.976946 |
| 0.448024 | 1.976804 |
| 0.448465 | 1.976661 |
| 0.448906 | 1.976519 |
| 0.449347 | 1.976378 |
| 0.449789 | 1.976236 |
| 0.450232 | 1.976095 |
| 0.450675 | 1.975954 |
| 0.451118 | 1.975814 |
| 0.451562 | 1.975674 |
| 0.452006 | 1.975534 |
| 0.452451 | 1.975395 |
| 0.452896 | 1.975256 |
| 0.453342 | 1.975117 |
| 0.453788 | 1.974978 |
| 0.454234 | 1.97484 |
| 0.454681 | 1.974702 |
| 0.455128 | 1.974565 |
| 0.455576 | 1.974428 |
| 0.456024 | 1.974291 |
| 0.456473 | 1.974154 |
| 0.456922 | 1.974018 |
| 0.457372 | 1.973882 |
| 0.457822 | 1.973746 |
| 0.458272 | 1.973611 |
| 0.458723 | 1.973476 |
| 0.459174 | 1.973341 |
| 0.459626 | 1.973206 |
| 0.460078 | 1.973072 |
| 0.460531 | 1.972938 |
| 0.460984 | 1.972805 |
| 0.461437 | 1.972672 |
| 0.461891 | 1.972539 |
| 0.462346 | 1.972406 |
| 0.462801 | 1.972274 |
| 0.463256 | 1.972142 |
| 0.463712 | 1.97201 |
| 0.464168 | 1.971878 |
| 0.464625 | 1.971747 |
| 0.465082 | 1.971616 |
| 0.465539 | 1.971486 |
| 0.465997 | 1.971356 |
| 0.466456 | 1.971226 |
| 0.466915 | 1.971096 |
| 0.467374 | 1.970966 |
| 0.467834 | 1.970837 |
| 0.468294 | 1.970709 |
| 0.468755 | 1.97058 |
| 0.469216 | 1.970452 |
| 0.469678 | 1.970324 |
| 0.47014 | 1.970196 |
| 0.470602 | 1.970069 |
| 0.471065 | 1.969942 |
| 0.471529 | 1.969815 |
| 0.471993 | 1.969688 |
| 0.472457 | 1.969562 |
| 0.472922 | 1.969436 |
| 0.473387 | 1.969311 |
| 0.473853 | 1.969185 |
| 0.474319 | 1.96906 |
| 0.474786 | 1.968935 |
| 0.475253 | 1.968811 |
| 0.47572 | 1.968687 |
| 0.476188 | 1.968563 |
| 0.476657 | 1.968439 |
| 0.477126 | 1.968315 |
| 0.477595 | 1.968192 |
| 0.478065 | 1.968069 |
| 0.478535 | 1.967947 |
| 0.479006 | 1.967824 |
| 0.479477 | 1.967702 |
| 0.479949 | 1.967581 |
| 0.480421 | 1.967459 |
| 0.480894 | 1.967338 |
| 0.481367 | 1.967217 |
| 0.481841 | 1.967096 |
| 0.482315 | 1.966976 |
| 0.482789 | 1.966856 |
| 0.483264 | 1.966736 |
| 0.48374 | 1.966616 |
| 0.484216 | 1.966497 |
| 0.484692 | 1.966378 |
| 0.485169 | 1.966259 |
| 0.485646 | 1.96614 |
| 0.486124 | 1.966022 |
| 0.486602 | 1.965904 |
| 0.487081 | 1.965786 |
| 0.48756 | 1.965669 |
| 0.48804 | 1.965552 |
| 0.48852 | 1.965435 |
| 0.489 | 1.965318 |
| 0.489482 | 1.965201 |
| 0.489963 | 1.965085 |
| 0.490445 | 1.964969 |
| 0.490928 | 1.964854 |
| 0.491411 | 1.964738 |
| 0.491894 | 1.964623 |
| 0.492378 | 1.964508 |
| 0.492862 | 1.964393 |
| 0.493347 | 1.964279 |
| 0.493833 | 1.964165 |
| 0.494319 | 1.964051 |
| 0.494805 | 1.963937 |
| 0.495292 | 1.963824 |
| 0.495779 | 1.963711 |
| 0.496267 | 1.963598 |
| 0.496755 | 1.963485 |
| 0.497244 | 1.963373 |
| 0.497733 | 1.963261 |
| 0.498223 | 1.963149 |
| 0.498713 | 1.963037 |
| 0.499203 | 1.962926 |
| 0.499695 | 1.962815 |
| 0.500186 | 1.962704 |
| 0.500678 | 1.962593 |
| 0.501171 | 1.962483 |
| 0.501664 | 1.962373 |
| 0.502157 | 1.962263 |
| 0.502651 | 1.962153 |
| 0.503146 | 1.962043 |
| 0.503641 | 1.961934 |
| 0.504136 | 1.961825 |
| 0.504632 | 1.961717 |
| 0.505129 | 1.961608 |
| 0.505626 | 1.9615 |
| 0.506123 | 1.961392 |
| 0.506621 | 1.961284 |
| 0.50712 | 1.961177 |
| 0.507619 | 1.961069 |
| 0.508118 | 1.960962 |
| 0.508618 | 1.960855 |
| 0.509118 | 1.960749 |
| 0.509619 | 1.960643 |
| 0.510121 | 1.960536 |
| 0.510622 | 1.960431 |
| 0.511125 | 1.960325 |
| 0.511628 | 1.960219 |
| 0.512131 | 1.960114 |
| 0.512635 | 1.960009 |
| 0.513139 | 1.959905 |
| 0.513644 | 1.9598 |
| 0.514149 | 1.959696 |
| 0.514655 | 1.959592 |
| 0.515162 | 1.959488 |
| 0.515668 | 1.959385 |
| 0.516176 | 1.959281 |
| 0.516684 | 1.959178 |
| 0.517192 | 1.959075 |
| 0.517701 | 1.958973 |
| 0.51821 | 1.95887 |
| 0.51872 | 1.958768 |
| 0.51923 | 1.958666 |
| 0.519741 | 1.958564 |
| 0.520252 | 1.958463 |
| 0.520764 | 1.958361 |
| 0.521276 | 1.95826 |
| 0.521789 | 1.958159 |
| 0.522303 | 1.958059 |
| 0.522817 | 1.957958 |
| 0.523331 | 1.957858 |
| 0.523846 | 1.957758 |
| 0.524361 | 1.957658 |
| 0.524877 | 1.957559 |
| 0.525393 | 1.957459 |
| 0.52591 | 1.95736 |
| 0.526428 | 1.957261 |
| 0.526946 | 1.957163 |
| 0.527464 | 1.957064 |
| 0.527983 | 1.956966 |
| 0.528502 | 1.956868 |
| 0.529022 | 1.95677 |
| 0.529543 | 1.956672 |
| 0.530064 | 1.956575 |
| 0.530585 | 1.956478 |
| 0.531107 | 1.956381 |
| 0.53163 | 1.956284 |
| 0.532153 | 1.956188 |
| 0.532676 | 1.956091 |
| 0.5332 | 1.955995 |
| 0.533725 | 1.955899 |
| 0.53425 | 1.955803 |
| 0.534776 | 1.955708 |
| 0.535302 | 1.955613 |
| 0.535828 | 1.955518 |
| 0.536356 | 1.955423 |
| 0.536883 | 1.955328 |
| 0.537412 | 1.955234 |
| 0.53794 | 1.955139 |
| 0.538469 | 1.955045 |
| 0.538999 | 1.954951 |
| 0.53953 | 1.954858 |
| 0.54006 | 1.954764 |
| 0.540592 | 1.954671 |
| 0.541123 | 1.954578 |
| 0.541656 | 1.954485 |
| 0.542189 | 1.954392 |
| 0.542722 | 1.9543 |
| 0.543256 | 1.954208 |
| 0.543791 | 1.954116 |
| 0.544326 | 1.954024 |
| 0.544861 | 1.953932 |
| 0.545397 | 1.953841 |
| 0.545934 | 1.95375 |
| 0.546471 | 1.953659 |
| 0.547008 | 1.953568 |
| 0.547547 | 1.953477 |
| 0.548085 | 1.953387 |
| 0.548625 | 1.953296 |
| 0.549164 | 1.953206 |
| 0.549705 | 1.953117 |
| 0.550245 | 1.953027 |
| 0.550787 | 1.952937 |
| 0.551329 | 1.952848 |
| 0.551871 | 1.952759 |
| 0.552414 | 1.95267 |
| 0.552957 | 1.952581 |
| 0.553501 | 1.952493 |
| 0.554046 | 1.952405 |
| 0.554591 | 1.952317 |
| 0.555137 | 1.952229 |
| 0.555683 | 1.952141 |
| 0.55623 | 1.952053 |
| 0.556777 | 1.951966 |
| 0.557325 | 1.951879 |
| 0.557873 | 1.951792 |
| 0.558422 | 1.951705 |
| 0.558971 | 1.951618 |
| 0.559521 | 1.951532 |
| 0.560071 | 1.951446 |
| 0.560623 | 1.95136 |
| 0.561174 | 1.951274 |
| 0.561726 | 1.951188 |
| 0.562279 | 1.951103 |
| 0.562832 | 1.951017 |
| 0.563386 | 1.950932 |
| 0.56394 | 1.950847 |
| 0.564495 | 1.950763 |
| 0.56505 | 1.950678 |
| 0.565606 | 1.950594 |
| 0.566163 | 1.950509 |
| 0.56672 | 1.950425 |
| 0.567277 | 1.950341 |
| 0.567835 | 1.950258 |
| 0.568394 | 1.950174 |
| 0.568953 | 1.950091 |
| 0.569513 | 1.950008 |
| 0.570073 | 1.949925 |
| 0.570634 | 1.949842 |
| 0.571195 | 1.94976 |
| 0.571757 | 1.949677 |
| 0.57232 | 1.949595 |
| 0.572883 | 1.949513 |
| 0.573446 | 1.949431 |
| 0.574011 | 1.949349 |
| 0.574575 | 1.949268 |
| 0.575141 | 1.949186 |
| 0.575706 | 1.949105 |
| 0.576273 | 1.949024 |
| 0.57684 | 1.948943 |
| 0.577407 | 1.948863 |
| 0.577975 | 1.948782 |
| 0.578544 | 1.948702 |
| 0.579113 | 1.948622 |
| 0.579683 | 1.948542 |
| 0.580253 | 1.948462 |
| 0.580824 | 1.948382 |
| 0.581396 | 1.948303 |
| 0.581968 | 1.948224 |
| 0.58254 | 1.948144 |
| 0.583113 | 1.948066 |
| 0.583687 | 1.947987 |
| 0.584261 | 1.947908 |
| 0.584836 | 1.94783 |
| 0.585411 | 1.947751 |
| 0.585987 | 1.947673 |
| 0.586564 | 1.947595 |
| 0.587141 | 1.947518 |
| 0.587719 | 1.94744 |
| 0.588297 | 1.947363 |
| 0.588875 | 1.947285 |
| 0.589455 | 1.947208 |
| 0.590035 | 1.947131 |
| 0.590615 | 1.947054 |
| 0.591196 | 1.946978 |
| 0.591778 | 1.946901 |
| 0.59236 | 1.946825 |
| 0.592943 | 1.946749 |
| 0.593526 | 1.946673 |
| 0.59411 | 1.946597 |
| 0.594695 | 1.946522 |
| 0.59528 | 1.946446 |
| 0.595865 | 1.946371 |
| 0.596452 | 1.946296 |
| 0.597038 | 1.946221 |
| 0.597626 | 1.946146 |
| 0.598214 | 1.946071 |
| 0.598802 | 1.945997 |
| 0.599391 | 1.945922 |
| 0.599981 | 1.945848 |
| 0.600571 | 1.945774 |
| 0.601162 | 1.9457 |
| 0.601754 | 1.945627 |
| 0.602346 | 1.945553 |
| 0.602938 | 1.94548 |
| 0.603532 | 1.945406 |
| 0.604125 | 1.945333 |
| 0.60472 | 1.94526 |
| 0.605315 | 1.945187 |
| 0.60591 | 1.945115 |
| 0.606506 | 1.945042 |
| 0.607103 | 1.94497 |
| 0.6077 | 1.944898 |
| 0.608298 | 1.944826 |
| 0.608897 | 1.944754 |
| 0.609496 | 1.944682 |
| 0.610095 | 1.944611 |
| 0.610695 | 1.944539 |
| 0.611296 | 1.944468 |
| 0.611898 | 1.944397 |
| 0.6125 | 1.944326 |
| 0.613102 | 1.944255 |
| 0.613705 | 1.944185 |
| 0.614309 | 1.944114 |
| 0.614914 | 1.944044 |
| 0.615519 | 1.943974 |
| 0.616124 | 1.943904 |
| 0.61673 | 1.943834 |
| 0.617337 | 1.943764 |
| 0.617944 | 1.943694 |
| 0.618552 | 1.943625 |
| 0.619161 | 1.943556 |
| 0.61977 | 1.943486 |
| 0.62038 | 1.943417 |
| 0.62099 | 1.943349 |
| 0.621601 | 1.94328 |
| 0.622213 | 1.943211 |
| 0.622825 | 1.943143 |
| 0.623437 | 1.943075 |
| 0.624051 | 1.943006 |
| 0.624665 | 1.942938 |
| 0.625279 | 1.942871 |
| 0.625895 | 1.942803 |
| 0.62651 | 1.942735 |
| 0.627127 | 1.942668 |
| 0.627744 | 1.942601 |
| 0.628361 | 1.942533 |
| 0.628979 | 1.942466 |
| 0.629598 | 1.9424 |
| 0.630218 | 1.942333 |
| 0.630838 | 1.942266 |
| 0.631458 | 1.9422 |
| 0.63208 | 1.942134 |
| 0.632701 | 1.942068 |
| 0.633324 | 1.942002 |
| 0.633947 | 1.941936 |
| 0.634571 | 1.94187 |
| 0.635195 | 1.941804 |
| 0.63582 | 1.941739 |
| 0.636445 | 1.941674 |
| 0.637072 | 1.941608 |
| 0.637698 | 1.941543 |
| 0.638326 | 1.941478 |
| 0.638954 | 1.941414 |
| 0.639582 | 1.941349 |
| 0.640212 | 1.941285 |
| 0.640841 | 1.94122 |
| 0.641472 | 1.941156 |
| 0.642103 | 1.941092 |
| 0.642735 | 1.941028 |
| 0.643367 | 1.940964 |
| 0.644 | 1.940901 |
Optical transmission calculator
Free-standing sample in vacuum, normal incidence- Transmittance T
- —
- Reflectance R
- —
Fresnel reflection calculator
- Rp
- —
- Rs
- —
- R = (Rp+Rs)/2
- —
- Phase φp
- —
- Phase φs
- —
- Brewster angle θB
- —
- Critical angle θC
- —